Role-Based Induced Social Norms in Computational Multi-Agent Systems

Abstract

Role-based frameworks enrich multi-agent system models with new organizational concepts: roles and groups. We present a formalization of a role-based approach in description logics serving as the common organizational model both for the development process and the management of the system.

A central authority of role ontology agent is proposed in this paper. This agent performs management of the system: keeping track of the actual state of the system, querying the model and checking its social norms.

Agents in the system can thus act in a sociable way especially in complicated configurations. Algorithms controlling agents in a computational intelligence modeling scenario are shown.

Keywords

• role model
• description logic
• integrity constraints
• computational intelligence